• English
    • français
  • Help
  •  | 
  • Contact
  •  | 
  • About
  •  | 
  • Login
  • HAL portal
  •  | 
  • Pages Pro
  • EN
  •  / 
  • FR
View Item 
  •   LillOA Home
  • Liste des unités
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
  • View Item
  •   LillOA Home
  • Liste des unités
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

SHREC 2019 Track: Online Gesture Recognition
  • BibTeX
  • CSV
  • Excel
  • RIS

Document type :
Communication dans un congrès avec actes
DOI :
10.2312/3dor.20191067
Title :
SHREC 2019 Track: Online Gesture Recognition
Author(s) :
Caputo, F [Auteur]
Burato, S [Auteur]
Pavan, G [Auteur]
Giachetti, A [Auteur]
Voillemin, Théo [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Wannous, Hazem [Auteur correspondant]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Vandeborre, Jean-Philippe [Auteur] refId
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Maghoumi, M [Auteur]
NVIDIA [NVIDIA]
Taranta, E M [Auteur]
Razmjoo, A [Auteur]
La Viola, J.J [Auteur]
Manganaro, F [Auteur]
Pini, S [Auteur]
Borghi, G [Auteur]
Vezzani, R [Auteur]
Cucchiara, R [Auteur]
Nguyen, H [Auteur]
Tran, M [Auteur]
Conference title :
Eurographics Workshop on 3D Object Retrieval
City :
Genova
Country :
Italie
Start date of the conference :
2019-05-05
Book title :
Eurographics Workshop on 3D Object Retrieval
English keyword(s) :
Human-centered computing
Gestural input
HAL domain(s) :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Informatique [cs]/Interface homme-machine [cs.HC]
English abstract : [en]
This paper presents the results of the Eurographics 2019 SHape Retrieval Contest track on online gesture recognition. The goal of this contest was to test state-of-the-art methods that can be used to online detect command ...
Show more >
This paper presents the results of the Eurographics 2019 SHape Retrieval Contest track on online gesture recognition. The goal of this contest was to test state-of-the-art methods that can be used to online detect command gestures from hands' movements tracking on a basic benchmark where simple gestures are performed interleaving them with other actions. Unlike previous contests and benchmarks on trajectory-based gesture recognition, we proposed an online gesture recognition task, not providing pre-segmented gestures, but asking the participants to find gestures within recorded trajectories. The results submitted by the participants show that an online detection and recognition of sets of very simple gestures from 3D trajectories captured with a cheap sensor can be effectively performed. The best methods proposed could be, therefore, directly exploited to design effective gesture-based interfaces to be used in different contexts, from Virtual and Mixed reality applications to the remote control of home devices.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
Files
Thumbnail
  • https://hal.archives-ouvertes.fr/hal-02430914/document
  • Open access
  • Access the document
Thumbnail
  • https://hal.archives-ouvertes.fr/hal-02430914/document
  • Open access
  • Access the document
Thumbnail
  • https://hal.archives-ouvertes.fr/hal-02430914/document
  • Open access
  • Access the document
Université de Lille

Mentions légales
Université de Lille © 2017